code: def test_numpy_hsplit(
      *,
      dtype_value,
      indices_or_sections,
      on_device,
      fn_tree,
      frontend,
      test_flags,
      backend_fw,
  ):
      input_dtype, value = dtype_value
      if isinstance(indices_or_sections, np.ndarray):
          assume(indices_or_sections.ndim == 0)
      helpers.test_frontend_function(
          input_dtypes=input_dtype,
          backend_to_test=backend_fw,
          frontend=frontend,
          test_flags=test_flags,
          fn_tree=fn_tree,
          on_device=on_device,
          ary=value[0],
          indices_or_sections=indices_or_sections,
      )
  
file_path: ivy/ivy_tests/test_ivy/test_frontends/test_numpy/test_manipulation_routines/test_splitting_arrays.py
imports: from hypothesis import strategies, assume
  import numpy
  import ivy_tests.test_ivy.helpers
  from ivy_tests.test_ivy.helpers import handle_frontend_test
  from ivy_tests.test_ivy.test_functional.test_core.test_manipulation import _get_splits
label_desc: Use image node_id 3 for calling a global function with example usage: test_numpy_hsplit() without return types